High-Fidelity Cyber and Physical Simulation of Water Distribution Systems. I: Models and Data

Journal Article (2023)
Author(s)

Andrés Murillo (Singapore University of Technology and Design)

Riccardo Taormina (TU Delft - Sanitary Engineering)

Nils Ole Tippenhauer (CISPA Helmholtz Center for Information Security)

Davide Salaorni (Politecnico di Milano)

Robert van Dijk (Student TU Delft)

Luc Jonker (Student TU Delft)

Simcha Vos (Student TU Delft)

Maarten Weyns (Student TU Delft)

Stefano Galelli (Singapore University of Technology and Design)

Research Group
Sanitary Engineering
DOI related publication
https://doi.org/10.1061/JWRMD5.WRENG-5853
More Info
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Publication Year
2023
Language
English
Research Group
Sanitary Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Issue number
5
Volume number
149
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Abstract

Numerical simulation models are a fundamental tool for planning and managing smart water networks—an evolution of water distribution systems in which physical assets are monitored and controlled by information and communication technologies. While simulation models allow us to understand the interactions between physical processes and abstract control strategies, they ignore key implementation aspects of distributed control systems, such as the required communication over digital links. As a result, the effects of anomalies and faults in the communication on the process control cannot be investigated with existing tools. In this work, we fill this gap by introducing DHALSIM (Digital HydrAuLic SIMulator), a numerical modelling platform combining EPANET-based process simulation with a network and host emulation environment, offering a high-fidelity representation of the processes occurring in the cyber domain. We illustrate DHALSIM’s key functionalities by implementing it on a benchmark water distribution system, present case studies of simulated network traffic, and demonstrate how anomalies in the behavior of the communication network affect the process data received by the supervisory control and data acquisition (SCADA) server. In a companion paper, we further illustrate how DHALSIM enables research opportunities in the domain of cyber-physical security. The easily customizable and open source DHALSIM provides a “workbench” for studying smart water networks, developing digital twins, and designing a broad spectrum of engineering solutions.

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